MLOPs engineer or senior engineer
- Capgemini Technology
- 4 Positions
- Bengaluru
- 3 days ago
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Job Description
Looking for MLOPs B2 to D2 grade candidate with azure databricks and scrum experience, not testing.
Agentic AI/AIML/GenAI/MLOPS-- interview with Capgemini, Wed 18th Feb 2026, virtual Fill out form
Machine Learning Ops Engineer is the one whos responsible for managing and optimizing the deployment and operation of machine learning models in production environments. He/she works closely with data scientists, software engineers, and DevOps teams to ensure that machine learning models are integrated seamlessly into existing systems and can scale effectively.
Role & Responsibilities
Responsible for design and implementation of secure and scalable infrastructure in Azure cloud.
Build and maintain CI/CD/CT pipeline across azure cloud platform for Data science projects.
Own and automate the infrastructure provisioning, demand forecasting and capacity planning.
Build tools and automation to improve systems availability, reliability, performance, monitoring and scalability.
Setting up the alerts and monitoring for the platform.
Monitoring system, application health, security controls and cost
Envision, implement and rollout best MLOPs/DevOps tools and automation.
Requirements:
Strong understanding of concepts related to Machine Learning, Architecture, and MLOps practices.
Proficient in Azure Cloud practices and managing Azure Kubernetes Service infrastructure.
Hands on experience in Python or any other scripting languages (Groovy, Shell)
Experience with monitoring tools.
Hands-on experience in Docker, Kubernetes.
Excellent experience with source code management tools (git)
Experience with modern cloud development practices such as Microservices Architecture, REST Interfaces etc.
Experience in implementing Data/Model drift.
Strive for Continuous Improvement and build continuous integration, continuous development, and constant deployment pipeline.
Excellent Troubleshooting skills
Always ready to learn more and adopt new cutting-edge technology with right value proposition.
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: General / Other SoftwareFunctional Area: Not SpecifiedRole/Responsibilies: MLOPs engineer or senior engineerContact Details:
Company: Capgemini TechnologyLocation(s): Bengaluru
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Capgemini Technology Services India Limited Capgemini in India is over 85,000 people strong across nine cities (Mumbai, Bangalore, Gurgaon, Noida, Gandhinagar, Hyderabad, Pune, Kolkata and Chennai - Trichy and Salem). A pioneer in the IT industry, Capgemini has over 45 years of global expertise ...
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